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Volumn 6332 LNAI, Issue , 2010, Pages 221-235

Algorithm for detecting significant locations from raw GPS data

Author keywords

[No Author keywords available]

Indexed keywords

DATA POINTS; DISTANCE COMPUTATION; ERROR PRONES; FAST ALGORITHMS; FIXED THRESHOLD; GPS DATA; HIGH NOISE LEVELS; LOCALITY SENSITIVE HASHING; LOCATION-AWARE APPLICATION; STEP OF ALGORITHMS;

EID: 78650137335     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-16184-1_16     Document Type: Conference Paper
Times cited : (13)

References (16)
  • 1
    • 51049104264 scopus 로고    scopus 로고
    • Google Maps, http://maps.google.com/
    • Google Maps
  • 7
    • 84944178665 scopus 로고
    • Hierarchical grouping to optimize an objective function
    • Ward, J.H.: Hierarchical grouping to optimize an objective function. Journal of the American Statistical Association 58(301), 236-244 (1963)
    • (1963) Journal of the American Statistical Association , vol.58 , Issue.301 , pp. 236-244
    • Ward, J.H.1
  • 8
    • 78650159435 scopus 로고    scopus 로고
    • GeoLife Project
    • GeoLife Project, http://research.microsoft.com/en-us/projects/geolife/
  • 9
    • 84875644869 scopus 로고    scopus 로고
    • Using GPS to learn significant locations and predict movement across multiple users
    • Ashbrook, D., Starner, T.: Using GPS to learn significant locations and predict movement across multiple users. In: Personal and Ubiquitous Computing, vol. 7, pp. 275-286 (2003)
    • (2003) Personal and Ubiquitous Computing , vol.7 , pp. 275-286
    • Ashbrook, D.1    Starner, T.2
  • 10
    • 34547176952 scopus 로고    scopus 로고
    • Project Lachesis: Parsing and Modeling Location Histories
    • Egenhofer, M.J., Freksa, C., Miller, H.J. (eds.) GIScience 2004. Springer, Heidelberg
    • Hariharan, R., Toyama, K.: Project Lachesis: Parsing and Modeling Location Histories. In: Egenhofer, M.J., Freksa, C., Miller, H.J. (eds.) GIScience 2004. LNCS, vol. 3234, pp. 106-124. Springer, Heidelberg (2004)
    • (2004) LNCS , vol.3234 , pp. 106-124
    • Hariharan, R.1    Toyama, K.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.